Spatial analysis for identification of priority areas for surveillance and control in a visceral leishmaniasis endemic area in Brazil

Barbosa, David Soeiro; Belo, Viní­cius Silva; Rangel, Maurício Eduardo Salgado; Werneck, Guilherme Loureiro

doi:10.1016/j.actatropica.2013.12.002

Cited by 47 publications

(36 citation statements)

References 30 publications

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“…The use of geographic information systems (GIS) and spatial analysis tools are important to evaluate the geographical distribution of the disease. The results of the analyses using these tools help in the understanding of health-related phenomena and are important when deciding on the surveillance and control measures, allowing the identification of areas of greatest risk for its occurrence 5,6 .…”

Section: Introductionmentioning

confidence: 99%

Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil

Bermudi

Guirado

Rodas

et al. 2018

Rev. Soc. Bras. Med. Trop.

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Section: Introductionmentioning

confidence: 99%

Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil

Bermudi

Guirado

Rodas

et al. 2018

Rev. Soc. Bras. Med. Trop.

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“…Geographic information systems and spatial analysis of infectious diseases have become common tools and are used widely by Brazilian researchers working in the field of leishmaniasis [7,18,19,22,[24][25][26][27]. Spatial analysis allows the visualization of regions with the highest prevalence of the disease and assists in the identification of associated risk factors and in the design of appropriate management strategies.…”

Section: Discussionmentioning

confidence: 99%

“…The technique has been widely employed in the study of leishmaniasis and has permitted detailed analyses of the spatial dependency between canine and human VL, the distribution of the vector, and the characterization of areas with high incidence and high risk of morbidity [7,[18][19][20][21][22][23][24][25][26][27].…”

Section: Introductionmentioning

confidence: 99%

Canine visceral leishmaniasis in an urban setting of Southeastern Brazil: an ecological study involving spatial analysis

Teixeira-Neto

Silva

Nascimento

et al. 2014

Parasites & Vectors

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Background: The physical characteristics of the environment influence the composition, distribution and behavior of the vectors and mammalian hosts involved in the transmission of visceral leishmaniasis (VL), thereby affecting the epidemiology of the disease. In Brazil, urbanization of human VL is a recent phenomenon and represents an issue of particular concern to local health authorities. The present study aimed to establish the degree of spatial dependency between canine and human VL in the municipality of Divinópolis, Minas Gerais, Brazil, and to identify priority risk areas in which stricter control measures should be implemented. Methods: The selected canine population comprised 3,652 dogs distributed within 11 strata and 1,247 urban blocks. Serum samples were collected between March 2013 and February 2014. Serodiagnosis of dogs was performed using the enzyme-linked immunosorbent assay and the indirect fluorescent-antibody test. The blocks sampled for canine VL and the addresses of the 16 confirmed cases of human VL notified in Divinópolis during the period 2007-2013 were georeferenced. Spatial analysis of the data was performed using Kernel density estimation, Ripley's bivariate K-function and directional distribution methods. Results: The overall prevalence of seropositive animals was 4.63% (range 3.95 -5.31) (n =169) and varied in different strata between 0.9 (range 0.0 -1.91) and 8.73% (range 5.65 -11.81). A positive spatial dependency was detected between human and canine VL in which the occurrence of human cases of the disease tended to concentrate in locations that were close to areas with a higher incidence of canine VL. The priority risk area could be clearly distinguished from Kernel density estimation and standard deviational ellipse plots in which the human VL ellipse was totally enclosed within the canine VL ellipse. Conclusions: The results presented herein will enable the Municipal Health Office of Divinópolis to devise a more effective management plan for human VL in which specific strategies would be applied to areas presenting different levels of risk. This spatial evaluation of leishmaniasis model could be applied in other urban areas of Brazil.

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“…As a major public health threat, visceral leishmaniasis (VL) (commonly known as kala-azar) accounts for a significant number of human infections and causes many fatalities among young children annually in developing countries, especially in poor and rural areas (Barbosa et al, 2014;Garg et al, 2013;Hazratian et al, 2011;Peterson et al, 2004;Chappuis et al, 2007). VL has been considered to be a neglected tropical disease in WHO (World Health Organization) reports and is the second most prevalent fatal parasitic disease after malaria (Diniz et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Identification of Visceral Leishmaniasis‐Susceptible Areas using Spatial Modelling in Southern Caucasus

Rajabi

Pilesjö

Bazmani

et al. 2016

Zoonoses and Public Health

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This study explores the application of spatial modelling techniques to generate susceptibility maps for a neglected zoonotic disease, visceral leishmaniasis (VL), in an endemic area in southern Caucasus that includes Iran, Armenia and Azerbaijan. The social and physical environment of southern Caucasus has been mainly characterized by the presence of several factors that are strongly associated with VL, which has caused a significant number of infections during the past decade. Three popular spatial modelling techniques, consisting of the weights of evidence, logistic regression and fuzzy logic methods, were evaluated and trained using a study area in north-western Iran where an inventory of highly infected areas and high-quality evidential factors was available. Model performance was assessed using the receiver-operating characteristic (ROC) approach. According to the results of these assessments, the fuzzy logic method with γ = 0.5 was chosen for the prediction of VL incidence in southern Caucasus. The susceptibility map generated using the fuzzy logic method indicated that VL followed a spatial pattern at the conjunction of the three countries, which suggests that the prevalence of VL in southern Caucasus is socio-ecologically dependent.

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Spatial analysis for identification of priority areas for surveillance and control in a visceral leishmaniasis endemic area in Brazil

Cited by 47 publications

References 30 publications

Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil

Spatio-temporal analysis of the occurrence of human visceral leishmaniasis in Araçatuba, State of São Paulo, Brazil

Canine visceral leishmaniasis in an urban setting of Southeastern Brazil: an ecological study involving spatial analysis

Identification of Visceral Leishmaniasis‐Susceptible Areas using Spatial Modelling in Southern Caucasus

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